Multipartite entanglement and quantum error identification in D -dimensional cluster states

Sowrabh Sudevan, Daniel Azses, Emanuele G. Dalla Torre, Eran Sela, Sourin Das

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

An entangled state is said to be m-uniform if the reduced density matrix of any m qubits is maximally mixed. This is intimately linked to pure quantum error correction codes (QECCs), which allow us not only to correct errors but also to identify their precise nature and location. Here, we show how to create m-uniform states using local gates or interactions and elucidate several QECC applications. We first show that D-dimensional cluster states are m-uniform with m=2D. This zero-correlation-length cluster state does not have finite-size corrections to its m=2D uniformity, which is exact both for infinite lattices and for large enough, but finite, lattices. Yet at some finite value of the lattice extension in each of the D dimensions, which we bound, the uniformity is degraded due to finite support operators which wind around the system. We also outline how to achieve larger m values using quasi-D-dimensional cluster states. This opens the possibility to use cluster states to benchmark errors on quantum computers. We demonstrate this ability on a superconducting quantum computer, focusing on the one-dimensional cluster state, which, as we show, allows us to detect and identify one-qubit errors, distinguishing X, Y, and Z errors.

Original languageEnglish
Article number022426
JournalPhysical Review A
Volume108
Issue number2
DOIs
StatePublished - Aug 2023

Bibliographical note

Publisher Copyright:
© 2023 American Physical Society.

Funding

We acknowledge the use of IBM Quantum services for this work. The views expressed are those of the authors and do not reflect the official policy or position of IBM or the IBM Quantum team. S.S. would like to acknowledge M. Goyal, ICTS-TIFR, for feedback on some proofs and IISER Kolkata, India, for support in the form of a fellowship. S.D. would like to acknowledge the MATRICS grant (Grant No. MTR/ 2019/001 043) from the Science and Engineering Research Board (SERB) for funding. We gratefully acknowledge support from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program under Grant Agreement No. 951541, ARO (W911NF-20-1-0013; E.S.), and the Israel Science Foundation under Grant No. 154/19 (E.G.D.T. and E.S.). We acknowledge enlightening discussions with R. Raussendorf and V. Scarola.

FundersFunder number
Army Research OfficeW911NF-20-1-0013
European Commission
Tata Institute of Fundamental Research
Science and Engineering Research Board
Israel Science Foundation154/19
Horizon 2020951541
Indian Institute of Science Education and Research KolkataMTR/ 2019/001 043

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